Triple
T21439549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 工学部 |
E528901
|
entity |
| Predicate | 学生の進路 |
P123046
|
FINISHED |
| Object | 大学院進学 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 大学院進学 | Statement: [工学部, 学生の進路, 大学院進学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 学生の進路 Context triple: [工学部, 学生の進路, 大学院進学]
-
A.
educationalPathway
chosen
Indicates the sequence or structure of educational steps, programs, or qualifications that connect one stage of learning or training to another.
-
B.
educationField
Indicates the academic or professional discipline in which an entity has been educated or trained.
-
C.
coordinatesEducation
Indicates that one entity organizes, manages, or oversees the educational activities, programs, or services of another entity.
-
D.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
E.
businessSchool
Indicates that one entity is a business school attended by, affiliated with, or otherwise educationally related to the other entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b6feb2e48190ba5649f16a8bbbda |
completed | April 22, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 6:05 p.m.